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…1000 generations each, where I keep just the last model of each run. Then I compute the average …
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…Time Series Prediction and can also be used for model selection during Ensemble Deployment to Excel: …
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…statistics that can also be used for model selection. There are a few minor spin-offs of …
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…functions that work well in the GeneXproTools modeling environment. So, as usual, I'm testing them on …
number of hits for a total of 20 best-of-run models. More specifically, I'm using the default math …
of 1000 generations each, keeping just the last model of each run. Curiously enough, the argmax …
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…that determine which words show in blue in the Model Panel. So for Go we have "package", "func", …
Constants. For example, in Go we have "package gepModel{CRLF}{CRLF}" as the opening statement; as the …
header we have "{CRLF}{CRLF}func gepModel(d []bool) bool {"; the random constants as …
Boolean functions NOT, AND, and OR: package gepModel func gepModel(d []bool) bool { …
use of helper functions in the code: package gepModel func gepModel(d []bool) bool { …
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…positively on the evolution of all kinds of models. So here it is, the C++ code for the 6-output …
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…most important, as it is used for scoring all the models GeneXproTools generates, including the ones with …
the GeneXproTools environment by scoring our models in the Scoring Panel. Indeed, the JavaScript …
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…the generated code through the deployment of models and ensembles to Excel. Second of all, because …
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…new linking functions were implemented in the modeling frameworks of Regression , Classification , …
classification problems, exploring the different modeling tools available in a particular framework, …
more about the different kinds of classification models these new linking functions allow us to explore. …
